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What is Devart ODBC Drivers?

Reliable and user-friendly data connectors for ODBC data sources are essential tools compatible with a variety of third-party applications. Among these, the Devart ODBC drivers stand out as high-performance solutions that deliver enterprise-grade features for accessing a wide range of popular database management systems and cloud services. These drivers are ideal for tasks such as reporting, analytics, business intelligence, and ETL processes, functioning seamlessly on both 32-bit and 64-bit versions of Windows, macOS, and Linux. Supporting all standard ODBC API functions, these drivers also accommodate various data types, enabling users to access real-time data from virtually any location. By allowing direct connections to cloud accounts and databases, they eliminate the need for traditional database client libraries, which streamlines deployment and enhances application functionality. Additionally, the ability to connect directly using native protocols without requiring client software further optimizes data access and simplifies user experience, making the Devart ODBC drivers a versatile choice for developers and analysts alike. With these drivers, organizations can harness the full potential of their data infrastructure without unnecessary complexity.

What is Apache Ignite?

Leverage Ignite as a traditional SQL database by utilizing JDBC and ODBC drivers, or by accessing the native SQL APIs available for programming languages like Java, C#, C++, and Python. Seamlessly conduct operations such as joining, grouping, aggregating, and ordering your data, which can be stored both in-memory and on-disk. Boost the efficiency of your existing applications up to 100 times by incorporating Ignite as an in-memory cache or data grid that connects with one or several external databases. Imagine a caching framework that supports SQL queries, transactional processes, and complex computational tasks. Build innovative applications that can manage both transactional and analytical operations by using Ignite as a database that surpasses the constraints of available memory. Ignite adeptly handles memory for frequently accessed information while offloading less commonly queried data to disk storage. Execute custom code snippets, even as small as a kilobyte, over extensive datasets that can reach petabyte scales. Transform your Ignite database into a robust distributed supercomputer engineered for rapid computations, sophisticated analytics, and advanced machine learning initiatives. Furthermore, Ignite not only streamlines data management but also empowers organizations to unlock the full potential of their data, paving the way for groundbreaking solutions and insights. By harnessing its capabilities, teams can drive innovation and improve decision-making processes across various sectors.

Media

Media

Integrations Supported

Alibaba Cloud
Apache OpenOffice
BigCommerce
DBeaver Community
Firebird
HubSpot CRM
InterBase
Mailchimp
Microsoft 365
MongoDB
Omnis Studio
Percona Monitoring and Management (PMM)
QuickBooks Online
SAP Adaptive Server Enterprise (ASE)
SQL Server Management Studio (SSMS)
Sugar Connect
Tableau
Visual Studio
dbForge Edge

Integrations Supported

Vert.x

API Availability

Has API

API Availability

Pricing Information

$99.95 one-time payment
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com/odbc/

Company Facts

Organization Name

Apache Ignite

Date Founded

1999

Company Location

United States

Company Website

ignite.apache.org

Categories and Features

Categories and Features

Caching

Not specified

Database

Not specified

Distributed Databases

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

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